The GeneReg Corpus for Gene Expression Regulation Events — An Overview of the Corpus and its In-Domain and Out-of-Domain Interoperability

7677

Authors

nan

Abstract

AbstractDespite the large variety of corpora in the biomedical domain their annotations differ in many respects, e.g., the coverage of different, highly specialized knowledge domains, varying degrees of granularity of targeted relations, the specificity of linguistic anchoring of relations and named entities in documents, etc. We here present GeneReg (Gene Regulation Corpus), the result of an annotation campaign led by the Jena University Language & Information Engineering (JULIE) Lab. The GeneReg corpus consists of 314 abstracts dealing with the regulation of gene expression in the model organism E. coli. Our emphasis in this paper is on the compatibility of the GeneReg corpus with the alternative Genia event corpus and with several in-domain and out-of-domain lexical resources, e.g., the Specialist Lexicon, FrameNet, and WordNet. The links we established from the GeneReg corpus to these external resources will help improve the performance of the automatic relation extraction engine JREx trained and evaluated on GeneReg.

Keywords

nan

Full Content

nan

Labeled Text

AbstractDespite the large variety of corpora in the biomedical domain their annotations differ in many respects, e.g., the coverage of different, highly specialized knowledge domains, varying degrees of granularity of targeted relations, the specificity of linguistic anchoring of relations and named entities in documents, etc. We here present GeneReg (Gene Regulation Corpus), the result of an annotation campaign led by the Jena University Language & Information Engineering (JULIE) Lab. The GeneReg corpus consists of 314 abstracts dealing with the regulation of gene expression in the model organism E. coli. Our emphasis in this paper is on the compatibility of the GeneReg corpus with the alternative Genia event corpus and with several in-domain and out-of-domain lexical resources, e.g., the Specialist Lexicon, FrameNet, and WordNet. The links we established from the GeneReg corpus to these external resources will help improve the performance of the automatic relation extraction engine JREx trained and evaluated on GeneReg.

Publication Details

Paper ID:
7677
Year:
2010
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan